Magnetic resonance imaging is important imaging technique used in the detection of brain tumor. Brain tumor is one of the most dangerous diseases occurring among the human beings. Brain MRI plays a very important role for radiologists to diagnose and treat brain tumor patients. Study of the medical image by the radiologist is a time consuming process and also the accuracy depends upon their experience. Thus, the computer aided systems becomes very necessary as they overcome these limitations. Several automated methods are available, but automating this process is very difficult because of different appearance of the tumor among the different patients. There are various feature extraction and classification methods which are used for detection of brain tumor from MRI images. In this paper, various approaches are reviewed enlightening the advantages and disadvantages of these methods.
CITATION STYLE
Sharma, K. (2014). A review on various brain tumor detection techniques in brain MRI images. IOSR Journal of Engineering, 4(5), 06–12. https://doi.org/10.9790/3021-04530612
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